In recent years, the rapid advancement of Artificial Intelligence (AI) has led to its increasingly pervasive integration within the domain of higher education. Although the implications of AI--both its opportunities and challenges--have been widely acknowledged, scholarly inquiry into effective strategies and methodological frameworks for leveraging its potential while mitigating associated risks remains relatively underdeveloped. This study investigates the transformative potential of AI in driving innovation and progress within the higher education sector, as well as the challenges that universities and colleges are likely to encounter. It concludes that, in terms of opportunities and potential, AI can support university professors in delivering feedback and assessment, enhance students' learning, and improve administrative and management processes. However, higher education is grappling with a range of pressing challenges, notably those related to academic honesty and the standard of academic work, inaccuracies generated by AI, and the exacerbation of educational inequality. In response, this article advances several recommendations, including the promotion of diversified assessment approaches to facilitate the development of AI-resistant evaluation methods, alongside the creation of effective policy measures and strategic approaches that promote the accountable use of AI technologies.
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Yue Shen
University of Edinburgh
Lecture Notes in Education Psychology and Public Media
University of Edinburgh
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Yue Shen (Wed,) studied this question.
synapsesocial.com/papers/689523d29f4f1c896c429fd8 — DOI: https://doi.org/10.54254/2753-7048/2025.ns25850